Recommender systems in social networking sites make users of these sites aware of various resources and people that otherwise they may have missed. In Personal Learning Networks, recommendation is used to create new connections by creating opportunities for interaction and conversation between learners. This article describes the outcomes of a workshop held at the PLE Conference 2013 on the design of recommender systems and on the concepts that determine how they work
The recommendation of products, content and services cannot be considered newly born, although its w...
Recommender systems are a means of personalizing the presentation of information to ensure that user...
Drachsler, H., Hummel, H. G. K., & Koper, R. (2008). Personal recommender systems for learners in li...
Abstract. This article addresses open questions of the discussions in the first SIRTEL workshop at t...
AbstractPersonal learning environments (PLEs) aim at putting the learner central stage and comprise ...
People recommenders are a widespread feature of social networking sites and educational social learn...
Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-base...
This article argues for the need of personal recommender systems in lifelong learning networks that ...
The main goal of our project is to research and develop technologies that support users in Learning ...
The following article addresses open questions of the discussions in the first SIRTEL workshop at th...
The overwhelming amount of information available today makes it difficult for users to find useful i...
In the past years learning has evolved from face-to-face to computer supported learning, and we are ...
Today, the emergence of web-based communities and hosted services such as social networking sites, w...
Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-base...
This paper studies people recommendations designed to help users find known, offline contacts and di...
The recommendation of products, content and services cannot be considered newly born, although its w...
Recommender systems are a means of personalizing the presentation of information to ensure that user...
Drachsler, H., Hummel, H. G. K., & Koper, R. (2008). Personal recommender systems for learners in li...
Abstract. This article addresses open questions of the discussions in the first SIRTEL workshop at t...
AbstractPersonal learning environments (PLEs) aim at putting the learner central stage and comprise ...
People recommenders are a widespread feature of social networking sites and educational social learn...
Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-base...
This article argues for the need of personal recommender systems in lifelong learning networks that ...
The main goal of our project is to research and develop technologies that support users in Learning ...
The following article addresses open questions of the discussions in the first SIRTEL workshop at th...
The overwhelming amount of information available today makes it difficult for users to find useful i...
In the past years learning has evolved from face-to-face to computer supported learning, and we are ...
Today, the emergence of web-based communities and hosted services such as social networking sites, w...
Personal learning environment (PLE) solutions aim at empowering learners to design (ICT and web-base...
This paper studies people recommendations designed to help users find known, offline contacts and di...
The recommendation of products, content and services cannot be considered newly born, although its w...
Recommender systems are a means of personalizing the presentation of information to ensure that user...
Drachsler, H., Hummel, H. G. K., & Koper, R. (2008). Personal recommender systems for learners in li...